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ADMS@VLDB 2019: Los Angeles, California, USA
- Rajesh Bordawekar, Tirthankar Lahiri:
10th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB 2019, Los Angeles, California, USA, August 26, 2019. 2019 - Dominik Durner, Viktor Leis, Thomas Neumann:
Experimental Study of Memory Allocation for High-Performance Query Processing. ADMS@VLDB 2019: 1-9 - Vasileios Zois, Vassilis J. Tsotras, Walid A. Najjar:
GPU Accelerated Top-K Selection With Efficient Early Stopping. ADMS@VLDB 2019: 10-21 - Eleazar Leal, Le Gruenwald:
A Study on Database Cracking with GPUs. ADMS@VLDB 2019: 22-33 - Jianting Zhang, Le Gruenwald:
Efficient Quadtree Construction for Indexing Large-Scale Point Data on GPUs: Bottom-Up vs. Top-Down. ADMS@VLDB 2019: 34-46 - Kento Miura, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Accelerating Regular Path Queries using FPGA. ADMS@VLDB 2019: 47-54 - Balavinayagam Samynathan, Keith Chapman, Mehdi Nik, Behnam Robatmili, Shahrzad Mirkhani, Maysam Lavasani:
Computational Storage For Big Data Analytics. ADMS@VLDB 2019: 55-63 - Jaco A. Hofmann, Lasse Thostrup, Tobias Ziegler, Carsten Binnig, Andreas Koch:
High-Performance In-Network Data Processing. ADMS@VLDB 2019: 64-73
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